> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Pixal3DConditioning - ComfyUI Built-in Node Documentation

> This node prepares image conditioning for the Trellis2 3D generation pipeline.

This node prepares image conditioning for the Trellis2 3D generation pipeline. It extracts visual features from the input image with a DINOv3 vision model at two resolutions, organizes them into per-stage feature maps (optionally enhanced with a NAF model), and combines them with camera data derived from the horizontal field of view. It outputs a positive and a negative conditioning pair, where the negative uses zeroed features for classifier-free guidance.

## Inputs

| Parameter           | Description                                                                                                                                                                 | Data Type    | Required | Range       |
| ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------ | -------- | ----------- |
| `clip_vision_model` | DINOv3 ViT-L/16 ClipVision.                                                                                                                                                 | CLIP\_VISION | Yes      | —           |
| `image`             | Preprocessed image from ImageCropToMask (pad\_factor=1.1 for Pixal3D).                                                                                                      | IMAGE        | Yes      | —           |
| `camera_angle_x`    | Horizontal FOV in degrees (display name: fov). Wire a MoGeGeometryToFOV (axis='horizontal', unit='degrees') for a per-image FoV (matches upstream default). Default: 49.13. | FLOAT        | Yes      | 1.0 – 170.0 |

Note: The `camera_angle_x` value is converted to radians internally and used to compute the camera distance for the projection transform matrix. When the supplied vision model includes a NAF component, the node additionally produces high-resolution feature maps for the shape and texture stages.

## Outputs

| Output Name | Description                                                                                                  | Data Type    |
| ----------- | ------------------------------------------------------------------------------------------------------------ | ------------ |
| `positive`  | Positive conditioning containing the image-derived feature maps and projection data for Trellis2 generation. | CONDITIONING |
| `negative`  | Negative conditioning with zeroed feature tensors, used for classifier-free guidance.                        | CONDITIONING |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/Pixal3DConditioning/en.md)

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